Author manuscript, published in "Preventive Medicine 2013;:epub ahead of print" DOI: 10.1016/j.ypmed.2013.03.012 Gelly J et al. Preventive services recommendations agreement. 2013-04-11 Page: 1/31
Bibliographic record
Abstract
Force. Gelly J et al. Preventive services recommendations agreement. 2013-04-11 Page: 2/31 OBJECTIVE: To analyze the level of agreement between recommendations on preventive services developed by Canada, France and the USA. METHODS: We gathered recommendations on primary and secondary preventive services to adults up to November 3 rd, 2011 from Canadian and US Task Forces, and equivalent French agencies. We excluded recommendations on immunization, long-term diseases or pregnancy. inserm-00812066, version 1- 11 Apr 2013 RESULTS: Among 250 recommendations, 84 (34%) issued by a single country could not be compared; 43 (26%) of the remaining 166 were in strong agreement (strictly identical grades between advising countries); 25 of 43 resulted in a proposal to be implemented in clinical practice, two others not to be implemented in clinical practice and 16 were indeterminate about implementation. Strong
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.572 | 0.285 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".